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A breakdown of my recent personal project! Software used: Blender, Houdini, Liquigen, Gaea, Ae, Ps. Models and tools: Quixel, BigMediumSmall, Polyganiq, Geo-Scatter, Fox Renderfarm, Neat Video Denoiser, Mixamo.

Dylan Donaldson

5,521 subscribers

107,489 просмотров • 2 лет назад •via X (Twitter)

Наука и технологии Образование

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля Dylan Donaldson

Dylan Donaldson2 лет назад

Full quality:

Фото профиля ibotpl

ibotpl2 лет назад

impressive breakdown!! amazing work, well done.

Фото профиля Dylan Donaldson

Dylan Donaldson2 лет назад

🔥 music is 'used2' by @hxly_xo

Фото профиля Jimmy Edward Films

Jimmy Edward Films2 лет назад

Zertox… Holy hell phenomenal work brother

Фото профиля Nassos Y 🇵🇸

Nassos Y 🇵🇸2 лет назад

This is gorgeous 😍

Фото профиля Dylan Donaldson

Dylan Donaldson2 лет назад

Thank you <33

Фото профиля Birchgo

Birchgo2 лет назад

This is beautiful!

Фото профиля Dylan Donaldson

Dylan Donaldson2 лет назад

Thank you so much!

Фото профиля Caze

Caze2 лет назад

amazing!

Фото профиля Dylan Donaldson

Dylan Donaldson2 лет назад

Thanks Caze!

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I'm genuinely blown away by this. The leap from text descriptions straight to 3D models? It's next-level. Think about the possibility: a stream of prompts turns into a treasure trove of 3D pieces. Gather them, and you've got a full scene ready to come to life. The thought alone was exciting, but seeing it in action? Mind-bending. Take user 'NeonGlitch86' for instance. They've crafted an entire miniature world using nothing but Luma AI's #Genie text-to-3D tool combined with Blender's magic. "Totally geeking out with Luma AI. Today's project was a scene built from scratch with generated 3D models. Slapped some Mixamo rigs onto my characters and placed them into Blender. It's like a playground for bringing scene sketches to life." - NeonGlitch86

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karim_yourself

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Andrew Jefferson

205,878 просмотров • 6 месяцев назад

I used to think waiting for my PC to finish a task was just part of the creative process. Then I realized how much time I was wasting just sitting around and checking on it. 😅 AI video generations, 4K exports, Blender renders, model training, code builds, huge downloads… some of these tasks can easily run for 30–40+ minutes. And somehow, I’d still walk over to my computer every few minutes like staring at the progress bar would make it move faster. 😂 That’s where StarDesk changed my workflow. Now I can access and monitor my desktop directly from my phone, even when I’m away from my setup. I can: 📱 Check AI video generations 🎬 Monitor exports and renders 🧠 Keep an eye on AI/model training 🔄 Restart workflows when something goes wrong 📂 Access files and desktop applications ⚡ Start the next task without being at my desk 💻 Monitor scripts, builds, and long-running processes And it’s not just useful for AI creators. 🎨 3D Artists: Keep track of Blender, Unreal Engine, Maya, Cinema 4D, and Houdini renders. 💻 Developers: Monitor builds, scripts, deployments, and local servers. 📸 Photographers: Check Lightroom exports and large file imports. 🎮 Gamers: Start downloads, manage updates, and get everything ready before you’re back home. 🎓 Students & Professionals: Access important desktop files and applications from wherever you are. 🏢 Small Businesses: Stay connected to office files and essential desktop tools while away. 🛠️ IT Support: Remotely access and troubleshoot computers without being physically there. The biggest difference? Your computer can keep doing the heavy work while you get on with your life. I originally tried StarDesk because it was free. I thought I’d only use it for checking my AI video workflows. Turns out, it became one of those small tools that quietly became part of my everyday workflow. Sometimes the best productivity tools aren’t the ones with the biggest feature lists. They’re the ones that simply give you more control, less waiting, and more freedom to step away from your desk. Try StarDesk 👇 #StarDesk #RemoteDesktop #AI #Productivity #AITools

I used to think waiting for my PC to finish a task was just part of the creative process. Then I realized how much time I was wasting just sitting around and checking on it. 😅 AI video generations, 4K exports, Blender renders, model training, code builds, huge downloads… some of these tasks can easily run for 30–40+ minutes. And somehow, I’d still walk over to my computer every few minutes like staring at the progress bar would make it move faster. 😂 That’s where StarDesk changed my workflow. Now I can access and monitor my desktop directly from my phone, even when I’m away from my setup. I can: 📱 Check AI video generations 🎬 Monitor exports and renders 🧠 Keep an eye on AI/model training 🔄 Restart workflows when something goes wrong 📂 Access files and desktop applications ⚡ Start the next task without being at my desk 💻 Monitor scripts, builds, and long-running processes And it’s not just useful for AI creators. 🎨 3D Artists: Keep track of Blender, Unreal Engine, Maya, Cinema 4D, and Houdini renders. 💻 Developers: Monitor builds, scripts, deployments, and local servers. 📸 Photographers: Check Lightroom exports and large file imports. 🎮 Gamers: Start downloads, manage updates, and get everything ready before you’re back home. 🎓 Students & Professionals: Access important desktop files and applications from wherever you are. 🏢 Small Businesses: Stay connected to office files and essential desktop tools while away. 🛠️ IT Support: Remotely access and troubleshoot computers without being physically there. The biggest difference? Your computer can keep doing the heavy work while you get on with your life. I originally tried StarDesk because it was free. I thought I’d only use it for checking my AI video workflows. Turns out, it became one of those small tools that quietly became part of my everyday workflow. Sometimes the best productivity tools aren’t the ones with the biggest feature lists. They’re the ones that simply give you more control, less waiting, and more freedom to step away from your desk. Try StarDesk 👇 #StarDesk #RemoteDesktop #AI #Productivity #AITools

Nancy Diazz

50,688 просмотров • 7 дней назад

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

My fox shooting garden defending AI robot is finally done and WORKING! 🤩 (Don’t worry it only shoots 💦 water) After months of slowly moving forward with each part I finished the last step to train a TensorFlow model on the footage of the 🦊 fox I collected hours of footage 📹 with the fox roaming around my garden, from this I labeled around 2000 images with the fox by hand ✋ Honestly, I was quite skeptical training the model was actually gonna work, maybe this was partly the reason I avoided working on this until the very end. If I couldn’t train a model to detect the fox, this whole robot would never be able to function properly. On the flipside though, with no previous experience in hardware or electronics there was a bit of a learning curve and I didn’t want to end up labeling thousands of images, training a TensorFlow model, only to fail on building the hardware. As I started building, I realized that mixing hardware and software adds quite another dimension to debugging things. At times I wasted hours debugging code in my IDE, only to realize the issue was somewhere in the electronics. Furthermore, combining this side project with a full time job and a young family, is not always easy. It can be quite frustrating, to know you only need 4 hours of concentrated effort for a small task, having to spread it out across a week of 20min increments. Then, a few months into the build I noticed the fox had stopped coming to my garden, in fact one day, I recorded her walking with 3 cute little 🐶 pups, and the next day I saw her moving out of my garden completely. Did she know I was building a robot? I had this strange mix of feelings, happy my garden was safe from poop and digging, happy she was safe with her pups, but how was I gonna finish this project if my robot had no fox to detect? For sure they would be back next year, I figured I could postpone the whole thing until next winter, but I also knew it was gonna be much harder to pick up momentum if I did let it sit there for six months. So I decided to keep working, hoping the fox would reappear,.. but she never did. As I finished labeling the footage and started training my model, I could finally see the mAP results, quantifying the precision of my object detection model. It was measuring at 78% across different metrics on detecting my fox. I quickly ran the model on some of the video footage I got from my fox. Inference speed took a hit, but it did a near perfect job detecting the fox, even when she was deep down in the grass or wizzing past in a motion blur. It took me by surprise how well it worked. With the default model I had to drop my confidence threshold way down to 15%, to recognize the fox as 🦜“bird” in one or two frames, with my custom model it followed the fox all the way down to the back of the garden! Still this didn’t solve the issue of there being no actual fox in my garden and how was I gonna wrap this project in a short timeframe. I played with the idea of putting a fox toy 🧸 on an RC 🚗 car, or borrowing a dog to run around the garden to test. Friends suggested I run around the garden in a fox costume.. what a ridiculous idea. I wasn’t really feeling the idea of running around the garden in a floppy cloth fox 🎭 costume, but had a look anyway. I came across these self inflating costumes. This actually could be perfect. Since it’s inflated, it would hold its shape super well, making it much easier to label, train and be recognized by my robot. So I got the costume and shot a time lapse of myself as a fox walking around the garden. I labeled it to around 600 images. Ran the model training again and got a mAP result of 82%. This was even better than my real fox! At this point I knew this was gonna work. So here’s the final 🎥 video, just having some fun with it. I’ll update here whenever the real fox does come back. On a final note, I’m looking for (remote) jobs in these fields of AI now: - object detection - visual generative AI - 3D (nerfs + gaussian splats) So if you know anything let me know! My DMs are open 😊

Jeroen Pixel

55,797 просмотров • 2 лет назад

A Fiscal Crisis Is Coming By 2030 And We Have Both Republicans And Democrats To Blame In my recent appearance on Thoughtful Money with our friend Adam Taggart , we unpacked the #math we use to project a US fiscal crisis by 2030 and how both Democrats and the GOP are perpetuating that outcome with socialist policies. If you are still a staunch Democrat or hardcore Republican after watching this, just know that you are dooming our children to a lifetime of slavery. For the rest of you, thanks in advance for ditching the Fox News/Truth Social/MSNBC/CNN propaganda so we can start developing solutions #together. ❤ Please like and repost if you’ve found this PSA helpful. Thank you! P.S. Link to full video:

A Fiscal Crisis Is Coming By 2030 And We Have Both Republicans And Democrats To Blame In my recent appearance on Thoughtful Money with our friend Adam Taggart , we unpacked the #math we use to project a US fiscal crisis by 2030 and how both Democrats and the GOP are perpetuating that outcome with socialist policies. If you are still a staunch Democrat or hardcore Republican after watching this, just know that you are dooming our children to a lifetime of slavery. For the rest of you, thanks in advance for ditching the Fox News/Truth Social/MSNBC/CNN propaganda so we can start developing solutions #together. ❤ Please like and repost if you’ve found this PSA helpful. Thank you! P.S. Link to full video:

Darius Dale

123,672 просмотров • 2 лет назад

Watch Battalion—My First Ever 5-Minute Gen AI Short Film. I had to upload it in two parts. This is part 1; part 2 is in the comments. I created this over a few weeks using 100% image-to-video and text-to-video Generative AI. While not perfect, the tools advance daily, even during production, helping to produce incredible results. This is my most in-depth and longest Gen AI narrative film project. It was created by one person. Watch the full-length 4K pro res here: Various tools helped me bring it to life, and it wouldn't have been possible without the power of AI. The story chronicles the 320th Barrage Balloon Batallion, the only unit to storm the beach during D-Day composed entirely of African American soldiers. They provided critical protection to the ships and soldiers below them from attacks by enemy aircraft. AI tools used: Kling AI Runway Luma Hailuo AI-MiniMax Hub Midjourney Magnific.ai OpenAI Stability AI udio FilmConvert Adobe Premiere Pro Adobe Photoshop Grok Comfyui, Live Portrait

Watch Battalion—My First Ever 5-Minute Gen AI Short Film. I had to upload it in two parts. This is part 1; part 2 is in the comments. I created this over a few weeks using 100% image-to-video and text-to-video Generative AI. While not perfect, the tools advance daily, even during production, helping to produce incredible results. This is my most in-depth and longest Gen AI narrative film project. It was created by one person. Watch the full-length 4K pro res here: Various tools helped me bring it to life, and it wouldn't have been possible without the power of AI. The story chronicles the 320th Barrage Balloon Batallion, the only unit to storm the beach during D-Day composed entirely of African American soldiers. They provided critical protection to the ships and soldiers below them from attacks by enemy aircraft. AI tools used: Kling AI Runway Luma Hailuo AI-MiniMax Hub Midjourney Magnific.ai OpenAI Stability AI udio FilmConvert Adobe Premiere Pro Adobe Photoshop Grok Comfyui, Live Portrait

Dave Clark

273,074 просмотров • 1 год назад